Practice - Case Study 2: AI in Automated Hiring and Recruitment – Amplifying Workforce Inequality
Practice Questions
Test your understanding with targeted questions
What is bias in the context of AI?
💡 Hint: Think about how decisions might favor one group over another.
Give an example of historical bias.
💡 Hint: Consider what happens when an AI learns from a company's history.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What is a significant source of bias in AI hiring?
💡 Hint: Consider what type of data informs AI decisions.
True or False: Representation bias occurs when a hiring system overrepresents certain demographics.
💡 Hint: Think about what it means to represent a group adequately.
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Challenge Problems
Push your limits with advanced challenges
Analyze a case where an AI hiring tool favored candidates from one demographic due to biased historical data. What measures would you recommend to change its design for fairness?
💡 Hint: Consider how different demographics can influence job performance.
Develop a strategy for an organization to ensure transparent hiring practices using an AI system. What key elements should be included?
💡 Hint: Think about what information candidates would need to understand AI decisions.
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Reference links
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